Povo, Italy

Ivan Chernukha

This inventor holds 1 USPTO granted patent. Top assignee: Marelli Europe S.p.a.. Active years: 2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ivan Chernukha. Retrieved from https://idiyas.com/inventor/ivan-chernukha

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024

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1 patent (USPTO):Explore Patents

Title: Ivan Chernukha: Innovator in Vehicle Action Prediction Systems

Introduction

Ivan Chernukha is a notable inventor based in Povo, Italy. He has made significant contributions to the field of vehicle technology, particularly in the area of action prediction systems. His innovative approach combines advanced neural network techniques with real-time data acquisition to enhance vehicle operation.

Latest Patents

Ivan Chernukha holds a patent for a "System for obtaining a prediction of an action of a vehicle and corresponding method." This system includes a camera for acquiring a sequence of images, a convolutional neural network visual encoder for obtaining a corresponding visual features vector, and sensors that determine the vehicle's position. The system utilizes a Recurrent Neural Network to generate predictions based on the visual features and vehicle position, thereby improving the accuracy of vehicle action predictions.

Career Highlights

Ivan is currently employed at Marelli Europe S.p.a., where he applies his expertise in developing cutting-edge vehicle technologies. His work focuses on integrating machine learning algorithms with automotive systems to enhance safety and efficiency.

Collaborations

Ivan collaborates with talented professionals such as Erika Di Stefano and Axel Furlan, contributing to a dynamic team environment that fosters innovation and creativity.

Conclusion

Ivan Chernukha's work in vehicle action prediction systems exemplifies the intersection of technology and automotive engineering. His contributions are paving the way for smarter and safer vehicles in the future.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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